Title: High-Dimensional Non-Linear Matrix Quantum Computation Verification and Optimization

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper explores the application of high-dimensional non-linear matrix quantum computation verification and optimization techniques. We investigate a novel framework that integrates quantum optimization algorithms with established matrix verification methods to rigorously assess the quantum properties of matrices. The core mechanism centers on utilizing the inherent quantum characteristics of high-dimensional matrices through a specific verification protocol, leveraging quantum optimization to enhance validation accuracy. The research aims to establish a robust quantum algorithm foundation, providing a pathway for validating complex matrix operations with increased precision and efficiency. The paper demonstrates the potential of this approach to advance the state of quantum algorithm development and validation.

DOI: 10.5281/zenodo.22204527

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